EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 32364235

Abstract

OBJECTIVE: Predicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models. To address institutional data protection policies, many distributed methods keep the data locally but rely on a central server for coordination, which introduces risks such as a single point of failure. We focus on providing an alternative based on a decentralized approach. We introduce the idea using blockchain technology for this purpose, with a brief description of its own potential advantages/disadvantages.

Authors

  • Tsung-Ting Kuo
    University of California San Diego, La Jolla, CA.
  • Rodney A Gabriel
    Department of Medicine, Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA, USA.
  • Krishna R Cidambi
    Department of Orthopaedic Surgery, University of California at San Diego, San Diego, California, USA.
  • Lucila Ohno-Machado
    University of California San Diego, La Jolla, CA.

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